496 search results - page 7 / 100 » Semi-Supervised Learning of Mixture Models |
ACL
2009
14 years 7 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
103
Voted
COLING
2008
14 years 11 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
143
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
132
Voted
EMNLP
2011
13 years 9 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...